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Qlik Talend Cloud vs Reltio Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 18, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Qlik Talend Cloud
Ranking in Cloud Master Data Management (MDM)
4th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
55
Ranking in other categories
Data Integration (6th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (8th)
Reltio Cloud
Ranking in Cloud Master Data Management (MDM)
2nd
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
12
Ranking in other categories
AI Data Analysis (4th), AI Customer Experience Personalization (11th)
 

Mindshare comparison

As of February 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Qlik Talend Cloud is 7.1%, up from 4.5% compared to the previous year. The mindshare of Reltio Cloud is 12.5%, down from 16.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Master Data Management (MDM) Market Share Distribution
ProductMarket Share (%)
Reltio Cloud12.5%
Qlik Talend Cloud7.1%
Other80.4%
Cloud Master Data Management (MDM)
 

Featured Reviews

HJ
IT Consultant at a tech services company with 201-500 employees
Has automated recurring data flows and improved accuracy in reporting
The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.
AG
Human Resources Head at AN INFOSYSTEMS BV
Consulting team maximizes cloud features while seeking workflow improvements
We are quite satisfied with the solution. The only issue we face is with the workflow feature. Every time we need to deploy our workflows, we must contact the Reltio Support Center. We have to rely on their availability and write to them to receive the required JAR files. They are slow to respond to these requests.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The process of upgrading the software is quite easy."
"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."
"Talend Data Integration has had a measurable impact on our organization by automating daily data loading processes, reducing manual effort by around three or four hours per day, improving data accuracy with error rates dropping by more than 70%, and enabling reporting teams to receive fresh data at least 50% faster for earlier and more confident decision-making."
"We have multiple use cases for this solution. We integrate with Salesforce, SAP and Oracle databases to build business logic and provide reporting."
"The Studio is easy to understand."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"Flexibility is a key feature I appreciate about Talend Data Integration, especially the integration of Java within it and the ease of integrating with multiple source repositories such as GitHub and Bitbucket."
"The tool was mainly used for ETL processes to apply governance rules on data."
"The matching feature of Reltio Cloud is highly effective compared to many other tools available. Additionally, it is almost ready to use out-of-the-box, reducing the implementation time."
"It is very easy to learn. The"
"The cloud feature is very beneficial, and the scalability performance feature is excellent."
"The solution saves 30% to 40% of our time."
"There are default limitations and considerations. For instance, Reltio can store a maximum of 200 values for a single attribute. If your data exceeds this limit, you can request Reltio support to increase the limit. However, be aware that increasing this limit may impact performance, potentially slowing down data loading times."
"The survivorship feature is great because we can define it, prioritize the sources, and only allow those sources to survive when making the golden record."
"We can store the data and enrich it from multiple sources."
"It is a scalable product, and the scalability is good. We can configure users."
 

Cons

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."
"The stability is good, but the performance is slower when I work on a huge amount of data."
"Processing large volumes of data sometimes consumes a lot of resources."
"Performance and speed could be improved."
"You can't join more than two tables for analysis."
"We'd like to see more connectors it the future."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."
"The solution's memory sometimes bottlenecks and that can be challenging."
"Initially, the UI was limited in features."
"Reltio Cloud could be improved in two specific areas. Firstly, the API capability needs to be enhanced, as when utilizing the REST API and posting a significant amount of data, there are multiple rejections from the MDM side. This can be due to the MDM server not responding or being unable to process the request. Therefore, I suggest that the API capacity should be increased to handle larger amounts of data. Additionally, I have noticed that the response time from the servers can take up to a minute or a few seconds, which can be improved for a faster response time."
"AI features should be introduced in Reltio more."
"The solution's UI could be enhanced, and its record filtering could be expanded."
"The deployment is difficult."
"The download process can be quite slow"
"There is some lag in developing new features for specific business requirements. If a new feature is needed, we have to raise a request in the developer portal through the IDEA portal. This process takes time to develop, which can be a drawback when immediate business needs arise."
"We need manual data modeling and configuration to tailor the platform to our requirements."
 

Pricing and Cost Advice

"It's a subscription-based platform, we renew it every year."
"The licensing cost is about 40,000 Euros a year."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"The tool is cheap."
"The solution's pricing is very reasonable and half the cost of Informatica."
"I have been using the open-source version."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
10%
Comms Service Provider
7%
Manufacturing Company
6%
Computer Software Company
14%
Financial Services Firm
12%
Manufacturing Company
10%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
Large Enterprise20
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise8
 

Questions from the Community

What needs improvement with Talend Data Quality?
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...
What is your primary use case for Talend Data Quality?
It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...
What advice do you have for others considering Talend Data Quality?
Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...
What needs improvement with Reltio Cloud?
We are quite satisfied with the solution. The only issue we face is with the workflow feature. Every time we need to deploy our workflows, we must contact the Reltio Support Center. We have to rely...
What is your primary use case for Reltio Cloud?
We are currently using Reltio Cloud. We are consultants based in Europe, and we are using it for ourselves and our clients.
What advice do you have for others considering Reltio Cloud?
Our team consists of 35 plus members spread across India, Vietnam, and Portugal in Europe. The solution runs on AWS Cloud and is a well-known platform. TIBCO EBX has suffered some losses last year....
 

Also Known As

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
No data available
 

Overview

 

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
iMiDiA, Slalom, MeritDirect, Cognizant
Find out what your peers are saying about Qlik Talend Cloud vs. Reltio Cloud and other solutions. Updated: December 2025.
881,733 professionals have used our research since 2012.